Silicon Valley’s Obsession with Generative AI Is Destroying Creativity and Art

Social media has lately been overrun by stunning and strange images generated by AI

In Silicon Valley, crypto and the metaverse are out. Generative AI is in. Silicon Valley has a new obsession. It's called "generative artificial intelligence," which refers to having computers take over creative tasks such as writing, filmmaking, and graphic design. That much became clear Monday night at the San Francisco Exploratorium, where Stability AI, the start-up behind the popular Stable Diffusion image-generating algorithm, gave a party that felt a lot like a return to pre-pandemic exuberance.

The event- which lured tech luminaries including the Google co-founder Sergey Brin, the AngelList founder Naval Ravikant and ventures capitalist Ron Conway out of their Zoom rooms — was billed as a launch party for Stability AI and a celebration of the company's recent US$101 million fund-raising round, which reportedly valued the company at US$1 billion.

But it doubled as a coming-out bash for the entire field of generative AI– the wonky umbrella term for AI that doesn't just analyze existing data but creates new text, images, videos, code snippets, and more.

It's been a banner year, in particular, for generative AI apps that turn text prompts into images- which, unlike NFTs or virtual reality metaverses, actually have the numbers to justify the hype they've received. DALL-E 2, the image generator that OpenAI released this spring, has more than 1.5 million users creating more than two million images every day, according to the company. Midjourney, another popular AI image generator released this year, has more than three million users on its official Discord server. (Google and Meta have built their own image generators but have not released them to the public.)

Why is Silicon Valley so excited about Generative AI?

The field of artificial intelligence has been having a boom phase for the past half-decade or so, but most of those advancements have been related to making sense of existing data. AI models have quickly grown efficient enough to recognize whether there's a cat in a photo you just took on your phone and reliable sufficient to power results from a Google search engine billions of times per day.

But generative AI models can produce something entirely new that wasn't there before- in other words, they're creating, not just analyzing.

Silicon Valley hype can, in fact, get forward of actuality. "There is a lot of FOMO," says Nathan Benaich, an investor at Air Street Capital and the writer of "The State of AI," an annual report monitoring know-how and enterprise tendencies. He says Adobe's acquisition of Figma, a collaborative design device, for $20 billion, has created a way of wealthy alternatives in reinventing artistic instruments. Benaich is looking at a number of firms exploring the usage of generative AI for protein synthesis or chemistry. "It's pretty crazy right now- everyone is talking about it," he says.

Joanne Chen, an associate at Foundation Capital and an early investor in Jasper, says it's nonetheless troublesome to show a generative AI device right into a helpful firm. Jasper's founders put most of their effort into fine-tuning the product to satisfy buyer wants and tastes, she says, however, she believes the know-how may have many makes use.

Chen additionally says the generative AI rush signifies that regulation has but to meet up with a few of the unsavory or harmful makes use of it may discover. She is nervous about how AI instruments might be misused, for instance, to create movies that unfold misinformation. "What I'm most concerned about is how we think about security and false and fake content," she says.

Other uncertainties about generative AI increase authorized questions. Amir Ghavi, a company associate on the regulation agency Fried Frank, says he has not too long ago fielded a burst of inquiries from firms seeking to use the know-how. They have struggled with points such because the authorized implications of utilizing fashions that may be educated on copyrighted materials like photos scraped from online.